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dc.contributor.author Abeykoon, H
dc.contributor.author Kaushalya, T
dc.contributor.author Akram, N
dc.contributor.author Weerawarana, S
dc.contributor.author De Silva, C
dc.contributor.author Dissanayaka, A
dc.date.accessioned 2013-10-21T02:12:19Z
dc.date.available 2013-10-21T02:12:19Z
dc.date.issued 2011
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/8050
dc.description.abstract Music notations can be considered as very important information for musicians as well as for music fans, To recreate music which WOJ heard before, one has to know the musical notes which were included in that music recording. For many years computer scientists and engineers have tried to come up with various techniques to automate the task of finding out musical notes from a music recording. Many digital formats which facilitate storing and encoding of music information exist. Many statistical methods have been proposed in literature. But implementation specific detail is very scarce. With this paper we try to address that issue. In this research study, we have implemented a system to systematically address the challenges in performing automatic music transcription.
dc.language en_US
dc.title A system for automatic music transcription
dc.type Conference-Extended-Abstract
dc.identifier.year 2011
dc.identifier.conference Excellence in Research, Excelling a Nation
dc.identifier.place Faculty of Engineering, University of Moratuwa
dc.identifier.pgnos pp. 22-26
dc.identifier.proceeding 17th Annual Research Symposium on Excellence in Research, Excelling a Nation


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